Trigo

Name: Trigo
Brand: Trigo

AI Native

AI Rent Verifications

Est 2022|Raised $500K|2 Ref Customers

LinkedIn 1K|Website|Web traffic 1K|FTEs 7|HQ New York, New York, US

Published Aug 13, 2026

01Common complaints

1. If you need transparent, self-serve pricing and rapid onboarding: the vendor sells through enterprise procurement and typically requires integration and deployment projects. 2. If you require publicly documented security certifications (SOC 2/ISO) prior to procurement: the vendor did not publicly list these certifications in the materials reviewed. 3. If your primary need is a narrowly scoped SCO skip-scan detector: a specialized checkout-focused vendor may be more cost-effective and quicker to deploy. 4. If your organization cannot operationalize real-time alerts (insufficient staffing, unclear escalation protocols): accurate detection without response workflows limits value. 5. If you require a "set-and-forget" solution: computer vision in stores commonly requires ongoing tuning for assortment, packaging, and lighting changes. 6. If vendor viability is a primary concern and you require long-term guarantees: the checkout-free market has seen vendor strategy shifts; require contractual protections.

Deal disqualifiers (poor fit)

Very small retailers without integration budget
Stores with poor camera coverage/lighting and limited ability to retrofit
Environments with regulatory or labor constraints that limit surveillance analytics without clear governance

Publicly acknowledged limitations

Vendor marketing materials do not list many limitations; they emphasize capabilities.

Practical limitations (common to computer-vision retail deployments)

Buyers should assume and validate the following:

Performance depends on camera quality, placement, and lighting conditions
Ongoing model tuning may be required for assortment and packaging changes
Integration effort varies widely by POS, VMS/NVR, and store estate heterogeneity

Roadmap visibility

A public, dated product roadmap with committed timelines was not found in the reviewed sources.

02Why they buy

- The vendor states a privacy-aware approach and asserts it does not collect biometric facial recognition. - The vendor emphasizes a retrofit approach that leverages existing CCTV to reduce new camera installation. - The platform is presented as covering shelf-to-POS linkage (not only checkout lanes) and combining loss prevention, checkout-free capability, and analytics under one vendor. Where competitors may have advantages: - Everseen: checkout-lane-focused maturity and publicly stated scale metrics may be advantageous for checkout-centric programs. - Amazon: visibility and ecosystem reach for certain formats, though large-format grocery fit has been debated.

03Field reports

Challenge: limited conventional SaaS review coverage

Trigo is an enterprise retail infrastructure product that integrates with physical stores. It has limited presence on mainstream SaaS review platforms, which reduces access to standardized ratings and user-submitted pros/cons.

What is available publicly

Vendor materials state relationships with large national and regional retailers and press articles reference deployments or trials with several grocery chains.

Public quotes from vendor-published materials

Because standard review-platform quotes were not located for Trigo, the most accessible public quotes are from articles and partner statements republished by the vendor. These vendor-selected quotes reflect partner perspectives and are not independent user reviews.

Common reasons retailers might consider the vendor (inferred)

Based on vendor positioning and press descriptions, reasons include:

Retrofit approach that aims to use existing stores rather than only new-builds
Vendor-stated privacy protections and non-biometric tracking
Product scope covering multiple checkout flows, particularly for loss prevention
Visibility from investor and partner relationships

Common concerns buyers should validate (because public user reviews are scarce)

False positive rates for alerts (customer friction risk)
Accuracy for difficult object classes (produce, look-alikes, occlusions)
Operational burden: staff response, dispute handling, and maintenance requirements
Any human-in-the-loop review needs and related labor costs
Receipt timing for checkout-free trips (minutes vs hours)

Publicly described deployments (summary)

Public sources mention vendor deployments or trials with large European and UK grocery chains and other retail partners. Detailed case studies with independently verified ROI metrics were not located in the reviewed sources.

Example: European grocer deployments (vendor and industry narrative)

Industry reporting describes hybrid and checkout-free store rollouts and attributes a multi-sensor approach with extensive camera coverage and support for weighed items. These accounts appear in industry articles and vendor/partner communications. Critical evaluation: - The available reporting is narrative and may rely on vendor or partner inputs. - No audited KPI outcomes (such as shrink reduction, labor cost savings, or conversion lifts) were found in the public material reviewed.

Loss-prevention launch — low-capex messaging

Vendor launch materials describe a solution that can use existing CCTV and NVR connections plus POS integration and refer to a low-capex deployment model.

Critical evaluation:

Even if new cameras are not required, other costs (integration, edge compute, deployment services, tuning and ongoing operations) are likely. "Low capex" and rapid ROI are vendor statements and should be validated against the retailer’s baseline shrink and operational model.

04Best fit

Company size

Mid-market to enterprise grocers and large retail chains
Multi-store operators where shrink and throughput improvements have material ROI potential

Indicative ICP:

Multi-store operators and high-traffic flagship locations where shrink is significant
IT and operations teams capable of supporting integrations and store rollout programs

Industries / verticals

Grocery / supermarket
Convenience retail
Drugstore / health & beauty

Roles and personas

Decision makers:

VP Retail Operations / COO Retail
Head of Loss Prevention / Asset Protection
CIO / Head of Store Technology

End users:

Store managers
Asset protection teams
Front-end supervisors

Pain points addressed

Partial shrink and concealment before checkout
Self-checkout risk and customer friction from strict physical controls (locked cases, bag checks)
Long queues and staffing constraints
Need for store-level analytics beyond POS

Qualification criteria (good fit)

Stores with reasonable existing CCTV coverage and stable POS integration paths
Organizations able to run disciplined pilots with measurable KPIs
Willingness to operationalize alerts with standard operating procedures

05The pitch

What the product does (objective value proposition)

Trigo provides computer-vision software for physical retail stores. Its product set is described by the vendor in three lines: 1. Loss prevention: Uses existing in-store CCTV plus POS integration to identify discrepancies between items taken and items paid for (for example, self-checkout non-scans, concealed items, walk-outs, and cashier fraud/sweethearting). The vendor describes the approach as a storewide, multilayer detection system with alerts and associated video evidence. 2. Autonomous retail (checkout-free experience): A camera- and sometimes shelf-sensor-based system intended to support checkout-free store flows, where a digital receipt is generated after the shopping trip. 3. Retail intelligence: Analytics such as traffic patterns, queue time, shopper journeys, basket analysis, and product interaction metrics. The vendor states it follows a privacy-aware approach and asserts that it does not use biometric facial recognition. The vendor also states the system operates with low latency. Important context: the broader cashierless / checkout-free category has experienced operational and economic challenges in public reporting. Those industry observations do not prove anything specific about Trigo’s implementation, but they highlight due-diligence questions for this category: accuracy at scale, human-in-the-loop requirements, time-to-receipt, and total deployment cost.

Target market & positioning

Trigo is positioned as enterprise retail infrastructure for:

Grocery/supermarkets (core)
Convenience formats
Drugstore / health & beauty

The vendor describes the loss-prevention product as applicable across multiple checkout modes (self-checkout, manned tills, Scan & Go, and skip-outs). The autonomous store product is presented for retailers seeking checkout-free flows.

Get a comprehensive analysis of Trigo including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →

Published Aug 13, 2026

01Common complaints

If you need transparent, self-serve pricing and rapid onboarding: the vendor sells through enterprise procurement and typically requires integration and deployment projects.
If you require publicly documented security certifications (SOC 2/ISO) prior to procurement: the vendor did not publicly list these certifications in the materials reviewed.
If your primary need is a narrowly scoped SCO skip-scan detector: a specialized checkout-focused vendor may be more cost-effective and quicker to deploy.
If your organization cannot operationalize real-time alerts (insufficient staffing, unclear escalation protocols): accurate detection without response workflows limits value.
If you require a "set-and-forget" solution: computer vision in stores commonly requires ongoing tuning for assortment, packaging, and lighting changes.
If vendor viability is a primary concern and you require long-term guarantees: the checkout-free market has seen vendor strategy shifts; require contractual protections.

Deal disqualifiers (poor fit)

Very small retailers without integration budget
Stores with poor camera coverage/lighting and limited ability to retrofit
Environments with regulatory or labor constraints that limit surveillance analytics without clear governance

Publicly acknowledged limitations

Vendor marketing materials do not list many limitations; they emphasize capabilities.

Practical limitations (common to computer-vision retail deployments)

Buyers should assume and validate the following:

Performance depends on camera quality, placement, and lighting conditions
Ongoing model tuning may be required for assortment and packaging changes
Integration effort varies widely by POS, VMS/NVR, and store estate heterogeneity

Roadmap visibility

A public, dated product roadmap with committed timelines was not found in the reviewed sources.

02Why they buy

The vendor states a privacy-aware approach and asserts it does not collect biometric facial recognition.
The vendor emphasizes a retrofit approach that leverages existing CCTV to reduce new camera installation.
The platform is presented as covering shelf-to-POS linkage (not only checkout lanes) and combining loss prevention, checkout-free capability, and analytics under one vendor.

Where competitors may have advantages:

Everseen: checkout-lane-focused maturity and publicly stated scale metrics may be advantageous for checkout-centric programs.
Amazon: visibility and ecosystem reach for certain formats, though large-format grocery fit has been debated.

03Field reports

Challenge: limited conventional SaaS review coverage

What is available publicly

Vendor materials state relationships with large national and regional retailers and press articles reference deployments or trials with several grocery chains.

Public quotes from vendor-published materials

Common reasons retailers might consider the vendor (inferred)

Based on vendor positioning and press descriptions, reasons include:

Retrofit approach that aims to use existing stores rather than only new-builds
Vendor-stated privacy protections and non-biometric tracking
Product scope covering multiple checkout flows, particularly for loss prevention
Visibility from investor and partner relationships

Common concerns buyers should validate (because public user reviews are scarce)

False positive rates for alerts (customer friction risk)
Accuracy for difficult object classes (produce, look-alikes, occlusions)
Operational burden: staff response, dispute handling, and maintenance requirements
Any human-in-the-loop review needs and related labor costs
Receipt timing for checkout-free trips (minutes vs hours)

Publicly described deployments (summary)

Example: European grocer deployments (vendor and industry narrative)

Critical evaluation:

The available reporting is narrative and may rely on vendor or partner inputs.
No audited KPI outcomes (such as shrink reduction, labor cost savings, or conversion lifts) were found in the public material reviewed.

Loss-prevention launch — low-capex messaging

Vendor launch materials describe a solution that can use existing CCTV and NVR connections plus POS integration and refer to a low-capex deployment model.

Critical evaluation:

Even if new cameras are not required, other costs (integration, edge compute, deployment services, tuning and ongoing operations) are likely. "Low capex" and rapid ROI are vendor statements and should be validated against the retailer’s baseline shrink and operational model.

04Best fit

Company size

Mid-market to enterprise grocers and large retail chains
Multi-store operators where shrink and throughput improvements have material ROI potential

Indicative ICP:

Multi-store operators and high-traffic flagship locations where shrink is significant
IT and operations teams capable of supporting integrations and store rollout programs

Industries / verticals

Grocery / supermarket
Convenience retail
Drugstore / health & beauty

Roles and personas

Decision makers:

VP Retail Operations / COO Retail
Head of Loss Prevention / Asset Protection
CIO / Head of Store Technology

End users:

Store managers
Asset protection teams
Front-end supervisors

Pain points addressed

Partial shrink and concealment before checkout
Self-checkout risk and customer friction from strict physical controls (locked cases, bag checks)
Long queues and staffing constraints
Need for store-level analytics beyond POS

Qualification criteria (good fit)

Stores with reasonable existing CCTV coverage and stable POS integration paths
Organizations able to run disciplined pilots with measurable KPIs
Willingness to operationalize alerts with standard operating procedures

05The pitch

What the product does (objective value proposition)

Trigo provides computer-vision software for physical retail stores. Its product set is described by the vendor in three lines:

Loss prevention: Uses existing in-store CCTV plus POS integration to identify discrepancies between items taken and items paid for (for example, self-checkout non-scans, concealed items, walk-outs, and cashier fraud/sweethearting). The vendor describes the approach as a storewide, multilayer detection system with alerts and associated video evidence.
Autonomous retail (checkout-free experience): A camera- and sometimes shelf-sensor-based system intended to support checkout-free store flows, where a digital receipt is generated after the shopping trip.
Retail intelligence: Analytics such as traffic patterns, queue time, shopper journeys, basket analysis, and product interaction metrics.

The vendor states it follows a privacy-aware approach and asserts that it does not use biometric facial recognition. The vendor also states the system operates with low latency.

Important context: the broader cashierless / checkout-free category has experienced operational and economic challenges in public reporting. Those industry observations do not prove anything specific about Trigo’s implementation, but they highlight due-diligence questions for this category: accuracy at scale, human-in-the-loop requirements, time-to-receipt, and total deployment cost.

Target market & positioning

Trigo is positioned as enterprise retail infrastructure for:

Grocery/supermarkets (core)
Convenience formats
Drugstore / health & beauty

Get a comprehensive analysis of Trigo including market position, competitive landscape, adoption trends, and peer benchmarks.

Download full report →